quanor {lmomco} | R Documentation

## Quantile Function of the Normal Distribution

### Description

This function computes the quantiles of the Normal distribution given parameters (mean and sd) of the distribution computed by `parnor`. The quantile function of the distribution has no explicit form (see `cdfnor` and `qnorm`). The parameters have the following interpretations: mean is the arithmetic mean and sd is the standard deviation. The R-function `qnorm` is used.

### Usage

    quanor(f, para)

### Arguments

`f` | Nonexceedance probability (0 <= F <= 1).
`para` | The parameters from `parnor` or similar.

### Value

Quantile value for nonexceedance probability F.

### Author(s)

W.H. Asquith

### References

Hosking, J.R.M., 1990, L-moments—Analysis and estimation of distributions using linear combinations of order statistics: Journal of the Royal Statistical Society, Series B, vol. 52, p. 105–124.

Hosking, J.R.M., 1996, FORTRAN routines for use with the method of L-moments: Version 3, IBM Research Report RC20525, T.J. Watson Research Center, Yorktown Heights, New York.

Hosking, J.R.M. and Wallis, J.R., 1997, Regional frequency analysis—An approach based on L-moments: Cambridge University Press.

### See Also

`cdfnor`, `parnor`, `quagno`

### Examples

      lmr <- lmom.ub(c(123,34,4,654,37,78))
      quanor(0.5,parnor(lmr))

[Package lmomco version 0.92 Index]